optimal classification 中文意思是什麼

optimal classification 解釋
最佳分類
  • optimal : adj. 最適宜的；最理想的；最好的 （opp. pessimal）。
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  1. Then, with respect to the objective of minimizing the total experimental cost, the optimal test plan ( including the sample size, inspection frequency, and the termination time needed by the classification rule for each of competing designs ) is derived by solving a nonlinear integer programming with a minimum probability of correct classification and a maximum probability of misclassification

    首先，我們提出一種具直觀優點的分?法則，然後以總試驗成本的最小化為目標，並賦予一正確分?的最小機?要求和錯誤分?的最大容許機? ?個限制條件，以決定出在所提出的分?法則下，各競標設計樣式所需的樣本? 、 ?測頻?和試驗終止時間的最佳組合。
  2. The article introduces the basic concepts and common methods of fuzzy mathematics, initially discussing the applications of fuzzy mathematics in the following aspects : 1 ) division of " skidding " strata with grade of membership that are drilled with diamond bits ; 2 ) comprehensive evaluation on the application in evaluation of diamond bits, classification of rock drillability, and evaluation of clay ; 3 ) classification of " hard rock " through fuzzy clustering analysis ; 4 ) estimation of completion time of boreholes and evaluation of underg round water with fuzzy mathematics ; 5 ) identification of new ore areas and option of best water resource area with fuzzy model ; 6 ) option of diamond bits and evaluation on oil field development plan with fuzzy resemble option and the improved calculation method ; ? ) prediction of mud slurry performance and of the amount of surging water in ore pits with fuzzy control ; 8 ) comprehensive evaluation of diamond bits and supporting plan of deep foundation pit with fuzzy optimal theory

    初步探討了以下幾方面的應用： 1 ）用隸屬度劃分金剛石鉆進「打滑」地層； 2 ）綜合評判在金剛石鉆頭評價、巖石可鉆性分級及鉆探造漿粘土評價中的應用； 3 ）用模糊聚類分析進行「硬巖石」分類； 4 ）用模糊數進行鉆孔竣工時間預估及地下水質評價； 5 ）模糊模式識別在新礦區類型識別和最佳水源地選擇中的應用； 6 ）模糊相似選擇及其改進演算法在金剛石鉆頭選擇和油田開發方案評價中的應用； 7 ）模糊控制在泥漿性能和礦坑涌水量預測中的應用； 8 ）優化理論模型在金剛石鉆頭和深基坑支護方案綜合評價中的應用。
  3. It is desirable for all related insiders and outsiders to discern all potential risk in advance. this paper, with the adoption of special treatment resulted from abnormal financial position as the indicator of financial distress, the univariate variable analysis and multiple variable analysis as the research approach and some financial ratios as variable, tries to find an optimal financial distress prediction model of chinese manufacturing listed companies based on public accounting data. our finding demonstrate that five general financial ratios and three ratios concerning the cash flow have better predicting ability, the erroneous classification ratio are low. these five general financial ratios are earning per share, return on net assets, return on gross assets, growth rate of net profits, growth rate of net assets ; the three ratios concerning the cash flow are net cash flows from operating activities per share, net re - earnable cash flows / current liability, net cash flows from operating activities / net profit

    研究結果表明，在單變量分析中，每股收益、凈資產收益率、總資產報酬率、凈利潤增長率、凈資產增長率這5個財務比率的錯分率較低、預測能力較強；經營活動凈現金流量與凈利潤之比、每股經營現金流量、可重復賺取的現金凈流量與流動負債之比這三個現金流量財務比率對于預測上市公司財務困境具有有效性；多變量分析中，應用費雪判別分析和典則判別分析得到兩個判別模型，在典則判別分析中，應用兩種方法確定所建模型的最佳分界點，檢測證明應用所得兩個判別模型進行財務困境預測的準確率很高。
  4. Each band of hyperspectral image has the same physical structure, so we classification the first band, and design an optimal linear predictor for each class to make the mean prediction square error minimal, and then we use jpeg - ls algorithm to remove the spatial redundancy

    由於高光譜圖像每個波段都具有相同的物理結構，先對首幅圖像進行分類，在每個子類中分別使用各自的最佳線性預測器，將該類中的相鄰譜段進行預測並將預測殘差均方降為最小，然後用jpeg - ls演算法去除殘差圖像的相關性。
  5. Taking attributed scattering center - based classification as example, the computation of feature likelihood function under many - many and 1 - 1 correspondence are studied, by using the algorithm of bipartite graph perfect matching to find the optimal 1 - 1 correspondence, the computation efficiency is improved greatly, the relations of likelihood function between 1 - 1 and many - many correspondence are analyzed, and two sub - optimal methods of calculating the likelihood function of 1 - 1 correspondence are presented

    本章以基於屬性散射中心特徵的分類為例，深入研究了多?多對應和1 ? 1對應特徵似然函數的計算，通過將求解二分圖最佳匹配的演算法用於尋找特徵之間的最優1 ? 1對應關系，有效提高了1 ? 1對應特徵似然函數的計算效率，分析了1 ? 1對應和多?多對應特徵似然函數之間的關系，給出了兩種次優的1 ? 1對應特徵似然函數計算方法。
  6. Correlative component analysis ( cca ) was used to eliminate multicollinearity and noise of original sample data before classifying by svm. to improve the classification performance of svm and obtain the optimal discriminative function, the ega proposed in this work was used to optimize the parameters of svm including correlative components ( ccs ), penalty factor c, and kernel width factor

    因此，為了充分利用支持向量機良好的分類能力，使之能處理存在復雜相關關系的觀測數據，給出了結合分類相關成分分析（ cca ）的支持向量機建立分類模型的方法（ cca - svm ） ，又利用本文第三章所提出的ega演算法優化分類相關成分數及支持向量機參數。
  7. 2 、 this thesis proposes an algorithm based on the svm model. through the svm, we can find the information of the optimal classification surface. to use the two sorts ’ segregator, we can automatically acquire sentence level chinese verb subcategorizations

    2 、研究並提出了使用支持向量機模型，建立最優分類面，通過二類分類器，分別獲取各次范疇分類的方法，並通過實驗驗證其可行性。
  8. Secondly, analysis of optimal vehicle scheduling problem is presented with an eye on restrict factors in the distribution management model. through the classification and mathematical description of distribution tasks with heuristic knowledge, an optimal distribution scheduling model based on hierarchy is put forward. satisfactory result is obtained with the adoption of hybrid genetic algorithm constructed of genetic algorithm and heuristic algorithm

    其次是分析配送管理中的車輛優化調度問題，總結了配送車輛調度問題中的諸多制約因素，運用啟發式信息對配送任務進行分類並分別建立數學模型，形成基於層次結構的配送優化調度模型，採用遺傳演算法結合啟發式演算法構造而成的混合遺傳演算法對模型求解，得到了滿意的結果。
  9. By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result

    本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。
  10. Mathematics model of feature combination classification is regarded as fitness function, optimal selection of original flaw feature is realized with feature selection strategy based on genetic algorithm

    以特徵組合分類能力數學模型為適應度函數，設計了基於遺傳演算法的特徵選擇策略，實現了對缺陷原始特徵量的優化選擇。
  11. Mathematics model of feature combination classification was regarded as fitness function in order to develop pattern recognition robustness to noise, optimal selection of original flaw feature was realized with feature selection strategy based on genetic algorithm

    為提高缺陷模式識別對各種噪聲及干擾的魯棒性，提出以特徵組合分類能力數學模型為適合度函數，設計基於遺傳演算法的特徵選擇策略，實現了對缺陷原始特徵量的優化選擇。
  12. Based on the classification of four location problems, this paper draws out two universal models of location problems from the theory, analyses and implements its proper optimal algorithm

    近年來物流選址問題是國內外研究的一個熱點，本文在將四大選址問題分類的基礎上，理論抽象出兩種通用的選址模型並進行優化演算法求解分析與實現。
  13. Analysis in one image level that has most pure objects will get high classification accuracy. the optimal segmentation scale means in that image level pure object is most and mix object is lest

    影像信息提取在純對象佔多數的尺度層提取能保證有較高的分類精度，因此選擇最優分割尺度也就是選擇影像中純對象最多而混合對象數目最少的分割尺度。
  14. Following these, a new global profit tradeoff optimization model based on optimal classification of 1c products is brought forward and its error is estimated

    接著，提出了一種新型的分檔效益協調優化模型，並估計了模型的誤差。
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